Leadership at a Series-A SaaS startup wanted to test agentic workflows fast to stay ahead of competitors, but lacked the internal capacity to evaluate and ship credible AI implementations on their own.

Technology & SoftwareProduct & Engineering4–8 weeks

What they built

Malleable AI built a flexible, containerized platform for configuring and monitoring AI agents, on LangGraph, FastAPI, and Docker, with native Slack-based workflows, so the team could spin up, configure, and test custom agents in weeks rather than months.

What changed

Weeks, not months

Time to spin up, configure, and test custom agents

First to prod

Shipped the company's first GenAI feature to production

Faster QA

Rapid synthetic user testing to accelerate QA cycles

Time to results

4–8 weeks

Company size

1-50 people

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